An Efficient Traffic Congestion Monitoring System on Internet of Vehicles

Wireless Communications and Mobile Computing - Tập 2018 Số 1 - 2018
Duc-Binh Nguyen1, Chyi‐Ren Dow1, Shiow‐Fen Hwang1
1Department of Information Engineering and Computer Science, Feng Chia University, Taichung

Tóm tắt

Existing intelligent transport systems (ITS) do not fully consider and resolve accuracy, instantaneity, and compatibility challenges while resolving traffic congestion in Internet of Vehicles (IoV) environments. This paper proposes a traffic congestion monitoring system, which includes data collection, segmented structure establishment, traffic‐flow modelling, local segment traffic congestion prediction, and origin‐destination traffic congestion service for drivers. Macroscopic model‐based traffic‐flow factors were formalized on the basis of the analysis results. Fuzzy rules‐based local segment traffic congestion prediction was performed to determine the traffic congestion state. To enhance prediction efficiency, this paper presents a verification process for minimizing false predictions which is based on the Rankine‐Hugoniot condition and an origin‐destination traffic congestion service is also provided. To verify the feasibility of the proposed system, a prototype was implemented. The experimental results demonstrate that the proposed scheme can effectively monitor traffic congestion in terms of accuracy and system response time.

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Wireless Communications and Mobile Computing

Tập 2018 Số 1

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